Let $(B^1,B^2,B^3)$ a Brownian motion in $\mathbb R^3$. Prove that $$\int_0^t\frac{(B^1_s)^2}{\big((B_s^1)^2+(B_s^2)^2+(B_s^3)^2\big)^3}ds<\infty \quad a.s.$$
I'm not so sure how to do it. Set $f(x,y,z)=\frac{x^2}{(x^2+y^2+z^2)^3}$. I proved that $$m\{s\in [0,t]\mid (B_s^1)^2+(B_s^2)^2+(B_s^3)^2=0\}=0\ \ a.s.$$ therefore $f(B_s^1,B_s^2,B_s^3)<\infty $ a.s. But unfortunately, this doesn't prove the claim. Moreover, since $f(B_s^1,B_s^2,B_s^3)$ is not a.s. bounded on $[0,t]$, I don't know how to do. Any idea ?
Let $f_1$ be your function. Let $f_2$ and $f_3$ be the same except with $y$ and $z$ on top. By symmetry, it is now enough to find $$\int_0^t \sum_i f_i(B^1_s,B^2_s,B^3_s)ds=\int_0^t ||(B^1_s,B^2_s,B^3_s)||^{-2}ds$$
A nonnegative random variable on a probability space is bounded a.s. iff its expectation is finite. So taking expectation and applying Fubini, we get,
$$\int_0^t\mathbb{E}\left[||(B^1_s,B^2_s,B^3_s)||^{-2}\right]ds$$
So now you just need to understand $$\mathbb{E}\left[||(B^1_s,B^2_s,B^3_s)||^{-2}\right] $$ as a function of s.